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Sei Lisa 31fcb331c7 Add support for C11-style _Pragma operator on processpre

A minor difference is that strings and whitespace are parsed according to LSL rules, not to C rules, since this processing is performed in the lexer.

This could be fixed, but is it worth the trouble?

2019-01-13 19:03:10 +01:00

lslopt

Add support for C11-style _Pragma operator on processpre

2019-01-13 19:03:10 +01:00

pcpp @ e1219ce157

Add files necessary to add an internal preprocessor (not implemented yet)

2019-01-11 21:21:36 +01:00

unit_tests

Add forgotten unit tests for the identifier substitution fiasco

2019-01-11 21:20:21 +01:00

.gitignore

Yet another follow-up to 2f4f403 (lslcalc support)

2016-12-15 04:15:26 +01:00

.gitmodules

Don't report pcpp as modified if it has untracked files

2019-01-12 20:33:52 +01:00

builtins-unittest.txt

Get rid of builtins.txt.dat by adding a parameter to the parser ctor.

2015-07-09 20:35:14 +02:00

builtins.txt

Upstream version of builtins.txt; update fndata.txt

2018-12-08 19:30:26 +01:00

COPYING

Add copyright notices to all files, to prepare the program for release.

2015-03-05 23:18:41 +01:00

cpreproc.py

Add support for comment passthrough to expression evaluator

2019-01-13 13:51:13 +01:00

fndata.txt

Check min and max to determine truth value of condition

2019-01-07 00:15:38 +01:00

main.py

Minor fixes in encoding handling

2019-01-13 00:25:28 +01:00

README.md

Update link to point to lsl.blacktulip-virtual.com instead of lsl.project.zone

2018-01-18 15:41:28 +01:00

run-tests.py

Make mismatches fail with assertTrue instead of assertEqual

2019-01-05 22:50:12 +01:00

testfuncs.py

New copyright year

2019-01-01 22:54:34 +01:00

testparser.py

Fix some comments

2019-01-02 00:38:44 +01:00

README.md

LSL PyOptimizer

LSL PyOptimizer is a LSL2 script optimizer written in Python 2. Currently it only supports code memory optimization (no speed optimization), only for Mono (no LSO), and only for the Second Life flavour of LSL (no OpenSim etc.).

HTML introduction, list of features and documentation available at http://lsl.blacktulip-virtual.com/lsl-pyoptimizer/